Cited 46 times in
How to utilize LR-M features of the LI-RADS to improve the diagnosis of combined hepatocellular-cholangiocarcinoma on gadoxetate-enhanced MRI?
DC Field | Value | Language |
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dc.contributor.author | 김명진 | - |
dc.contributor.author | 안찬식 | - |
dc.contributor.author | 이홍선 | - |
dc.date.accessioned | 2019-07-23T06:51:25Z | - |
dc.date.available | 2019-07-23T06:51:25Z | - |
dc.date.issued | 2019 | - |
dc.identifier.issn | 0938-7994 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/170340 | - |
dc.description.abstract | OBJECTIVES: To investigate the diagnostic accuracy of each LR-M feature defined in version 2017 of the Liver Imaging Reporting and Data System (LI-RADS) and determine the optimal LR-M feature for differentiating combined hepatocellular-cholangiocarcinoma (cHCC-CCA) and hepatocellular carcinoma (HCC) on gadoxetate-enhanced magnetic resonance imaging (MRI). METHODS: Ninety-nine patients with pathologically proven cHCC-CCA (n = 33) or HCC (n = 66) after surgery were identified. Two radiologists retrospectively assessed preoperative gadoxetate-enhanced MRI for features favoring non-HCC malignancies (LR-M features) according to LI-RADS version 2017. Multivariate logistic regression analysis was performed to determine the independent differential features. The sensitivity and specificity for diagnosing cHCC-CCA were calculated for each LR-M feature. RESULTS: Targetoid appearance showed the highest sensitivity (75.8%, 95% confidence interval [CI] 60.6%, 87.3%) to correctly identify cHCC-CCA as LR-M. At least one LR-M feature was observed in 31 (93.9%) patients with cHCC-CCA and 34 (51.5%) patients with HCC. The sensitivity and specificity for diagnosing cHCC-CCA using the presence of any one of the LR-M features were 93.9% (95% CI 80.7, 98.9) and 48.5% (95% CI 41.9, 51.0), respectively. The presence of three LR-M features yielded the highest diagnostic accuracy of 80.8% (95% CI 72.1, 86.1) with a reduced sensitivity of 54.5% (95% CI 41.4, 62.5). CONCLUSION: The majority of cHCC-CCA cases can be properly categorized as LR-M when any one of the LR-M features defined in the LI-RADS version 2017 is used as a determiner. However, approximately half of HCC cases also show at least one LR-M feature. KEY POINTS: • Targetoid appearance, including rim APHE, peripheral "washout" appearance, and delayed central enhancement, was the LR-M feature that identified cHCC-CCA as a non-HCC malignancy with the highest sensitivity. • Most cHCC-CCA cases can be properly categorized as LR-M when the presence of any one of the LR-M features was used as the determiner. • Approximately half of HCC cases also showed at least one LR-M feature. | - |
dc.description.statementOfResponsibility | restriction | - |
dc.language | English | - |
dc.publisher | Springer International | - |
dc.relation.isPartOf | EUROPEAN RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Bile Duct Neoplasms/diagnosis | - |
dc.subject.MESH | Bile Ducts, Intrahepatic/diagnostic imaging | - |
dc.subject.MESH | Carcinoma, Hepatocellular/diagnosis | - |
dc.subject.MESH | Cholangiocarcinoma/diagnosis | - |
dc.subject.MESH | Contrast Media/pharmacology | - |
dc.subject.MESH | Data Systems | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Gadolinium DTPA/pharmacology | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Liver Neoplasms/diagnosis | - |
dc.subject.MESH | Magnetic Resonance Imaging/methods | - |
dc.subject.MESH | Male | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Retrospective Studies | - |
dc.title | How to utilize LR-M features of the LI-RADS to improve the diagnosis of combined hepatocellular-cholangiocarcinoma on gadoxetate-enhanced MRI? | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Radiology (영상의학교실) | - |
dc.contributor.googleauthor | Hong Seon Lee | - |
dc.contributor.googleauthor | Myeong-Jin Kim | - |
dc.contributor.googleauthor | Chansik An | - |
dc.identifier.doi | 10.1007/s00330-018-5893-1 | - |
dc.contributor.localId | A00426 | - |
dc.contributor.localId | A02268 | - |
dc.relation.journalcode | J00851 | - |
dc.identifier.eissn | 1432-1084 | - |
dc.identifier.pmid | 30552477 | - |
dc.identifier.url | https://link.springer.com/article/10.1007%2Fs00330-018-5893-1 | - |
dc.subject.keyword | Contrast media | - |
dc.subject.keyword | Gadolinium ethoxybenzyl DTPA | - |
dc.subject.keyword | Hepatocellular carcinoma | - |
dc.subject.keyword | Liver neoplasm | - |
dc.subject.keyword | Magnetic resonance imaging | - |
dc.contributor.alternativeName | Kim, Myeong Jin | - |
dc.contributor.affiliatedAuthor | 김명진 | - |
dc.contributor.affiliatedAuthor | 안찬식 | - |
dc.citation.volume | 29 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 2408 | - |
dc.citation.endPage | 2416 | - |
dc.identifier.bibliographicCitation | EUROPEAN RADIOLOGY, Vol.29(5) : 2408-2416, 2019 | - |
dc.identifier.rimsid | 62157 | - |
dc.type.rims | ART | - |
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